ishaankochhar
Remote sensing enthusiast working in the field of science outside academia!
@blueskyanalyticsIndia
Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-earthobservation-code
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
awesome-forests
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
Awesome-Geospatial
Long list of geospatial tools and resources
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-README-templates
A collection of awesome readme templates to display on your github profile.
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
ishaankochhar's Repositories
ishaankochhar/awesome-forests
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
ishaankochhar/aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
ishaankochhar/climada_python
Python (3.8+) version of CLIMADA
ishaankochhar/climetlab
Python package to easy access to weather and climate data
ishaankochhar/covid
ishaankochhar/dea-notebooks
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
ishaankochhar/Earth-Engine-Datasets-List
List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)
ishaankochhar/earthdata
Python client for NASA CMR
ishaankochhar/evidently
Interactive reports to analyze machine learning models during validation or production monitoring.
ishaankochhar/foss4g-2021
Pangeo tutorial at FOSS4G 2021
ishaankochhar/free-programming-books
:books: Freely available programming books
ishaankochhar/GALUP
Ghana Land Use Project
ishaankochhar/geoblender
Tutorials for making 3D-looking maps with Blender and QGIS
ishaankochhar/geopandas
Python tools for geographic data
ishaankochhar/giswqs
ishaankochhar/global-power-plant-database
A comprehensive, global, open source database of power plants
ishaankochhar/icecube
Create time-series datacubes for supervised machine learning with ICEYE SAR images.
ishaankochhar/indiannationalism
The Indian Nationalism Project
ishaankochhar/isce2
InSAR Scientific Computing Environment version 2
ishaankochhar/ishaankochhar
ishaankochhar/its_live_production
A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets
ishaankochhar/machine_learning_complete
A comprehensive repository containing 30+ notebooks on learning machine learning!
ishaankochhar/oggm
Open Global Glacier Model
ishaankochhar/PlanetaryComputerExamples
Examples of using the Planetary Computer
ishaankochhar/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
ishaankochhar/rgb-footprint-extract
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
ishaankochhar/rw-dynamicworld-cd
A repository holding code and example notebooks for change detection methodology for the Dynamic World Land Cover product.
ishaankochhar/satproc
Python library and CLI tools for processing geospatial imagery for ML
ishaankochhar/sits
Satellite image time series in R
ishaankochhar/spyndex
Awesome Spectral Indices in Python.